Category Sales Analysis Gather information on the trends in the marketplace and come up with innovative products or marketing in anticipation of customer's changing demands.
Point of Sale Data Create maps from point of sale data - spreadsheets or databases and then mashes it up with data from census, syndicated data, supply chain, marketing, weather and merchandising. Product Mix by Store Improve the timeliness and quality of information and enable managers to better understand the position of brands in comparison to its competitors.
Customer Demographics Extrapolate information from indicators in the external environment and analyze age and household income data to forecast the future trends in their category.
Syndicated Data Spatial visualization for consumer data, store level sales or buying trends immediately allows you to make specific decisions that maximize margin and actual sales revenue.
Consumer Trends and Patterns Analyze, changing trends in market share, changes in customer behavior and spending patterns, customers' preferences, company capabilities and market conditions.
Loyalty Data Combining business data with customer loyalty information enables category decision-makers to track marketing effectiveness, discover trends, identify patterns, manage inventory supply chain and visually analyze busines metrics.
Supply Chain Management Develop consistent and "data-based" business decisions--producing better results than basing decisions on "guesswork."
Out of Stock Data Spatial visualization for store level sales or causal data trends immediately calls out specific trends such as out of stocks, missing distribution or gaps between expected sales and actual sales.
Strategic Marketing Create mashups of your data for a more effective marketing strategy using AWhere®.